Parse Logs for Error Reporting | Dataford Interview Questions

Daimler Truck North America's Detroit Connect telemetry services emit pipe-delimited log lines. Write a function that parses the logs, aggregates ERROR entries by service and error code, and reports only groups meeting a minimum occurrence count.

Formal Specification

Implement aggregate_error_logs(logs, min_count). Each string in logs has this format:

Return a list of dictionaries. Each dictionary must contain:

service: the service name
code: the error code
count: the number of matching ERROR entries
hosts: sorted unique hosts that produced the error

Include only groups where count >= min_count. Sort the result by descending count, then ascending service, then ascending code. Inputs contain valid records with exactly six fields, and messages may contain additional pipe characters after the fifth separator.

Constraints

1 <= len(logs) <= 10^5
1 <= min_count <= len(logs)
Every log line contains exactly six logical fields
Messages may contain additional pipe characters
Service and code names contain no pipe characters

Function Signature

def aggregate_error_logs(logs, min_count):

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